code: def postprocess(self, outputs: Sequence[Any]):
      outputs = convert_all(outputs, "tf")
      if len(outputs) == 1:
          outputs = outputs[0]
      return outputs
  
file_path: BigDL/python/nano/src/bigdl/nano/deps/neural_compressor/tensorflow/model.py
imports: import os
  from bigdl.nano.utils.common import SafePickle
  import yaml
  from pathlib import Path
  from typing import Sequence, Any, Union, Dict
  from neural_compressor.model.model import TensorflowModel
  from bigdl.nano.utils.common import invalidInputError
  from bigdl.nano.utils.tf import convert_all
  from bigdl.nano.tf.model import KerasOptimizedModel
  from ..core import version
label_desc: Use image node_id 4 for calling the KerasQuantizedModel obj's underlying member method code with example usage: obj.postprocess(outputs) and returns: outputs